Data Engineer II

• Build and maintain batch and streaming data pipelines that deliver correct, on-time data to analytics and product teams.
• Implement dimensional data models and dbt transformations from a design that you and a senior engineer agree on.
• Add data quality tests, monitors, and alerts to the pipelines that you own. Respond when they fire.
• Apply the team's HIPAA and PII patterns when you handle member data. This includes access control, tagging, and audit trails.
• Diagnose and tune slow or expensive pipelines and queries. Report the cause and the measured improvement.
• Support business stakeholders and data scientists who use first-party and third-party data. Answer questions about the models that you build.
• Turn a business requirement into a technical design for one pipeline or one data model. Write it down before you build.
• Take part in on-call rotation for the data platform. Write and improve runbooks for the failures that you fix.

• Bachelor’s Degree in Computer Science or related technical degree
• 3+ years of data engineering experience
• 2+ years of experience in processing and storing large scale data using distributed systems as well as working knowledge of database designs and data warehousing including star and snowflake schemas.
• 2+ years of experience working with broad spectrum of OLTP data stores like PostgreSQL,MySQL, MongoDB, Redis and OLAP stores like Databricks,Snowflake, Redshift
• 1+ years of experience building data pipelines using Spark, Kafka, Airflow
• 1+ years of experience designing and implementing data warehouse models (e.g., STAR, Snowflake), as well as developing ELT and ETL pipelines within data lake ecosystems

• Mastery of SQL and Python
• Working knowledge of IAC like terraform
• Excellent verbal and written communication skills, especially in communicating complex technical problems with non-technical stakeholders
• 1+ year experience working with dbt
• Knowledge of streaming systems like Flink, Kafka streams or spark streaming
• Experience with managed data integration platforms like Fivetran,Estuary
• Experience building data products that serve machine learning: feature pipelines, training datasets, or model-serving inputs.
• Daily use of AI coding assistants, and interest in AI-powered self-serve analytics such as natural-language query over a data warehouse.

We believe that remote work and in-person work have their own advantages and disadvantages, and we want to be able to leverage the best of both worlds. Employees in hybrid roles are required to be in the office 3 days/week.

This is a Bengaluru-based role that involves regular interaction and collaboration with Hinge Health colleagues in San Francisco, CA.

• Time zones: San Francisco is in the Pacific Time Zone, which is 12 hours and 30 minutes behind India Standard Time (e.g., 8am in San Francisco is 8:30pm in Bengaluru).
• Hours: Applicants should be open to meetings in the late evening following India Standard Time to align with San Francisco working hours (8am - 6pm PT).

• Inclusive healthcare and benefits: In addition to comprehensive medical, dental, and vision coverage, we provide employees and their family members with Group Medical Coverage (GMC), Group Term Life Insurance (GTL), and Group Personal Accident Insurance (GPA).
• We also offer a lifestyle stipend to support your overall well-being, along with learning and development opportunities to help you grow both personally and professionally.
• Grow with us through discounted company stock through our ESPP with easy payroll deductions.

Beware of Phishing Attempts: We've noticed an increase in phishing where fraudsters impersonate employees and send fake job offers to steal sensitive information. We'll never ask for financial details during the hiring process and only use "@hingehealth.com http://hingehealth.com" emails. If you receive a suspicious offer, stop communication and report it to the US FBI Internet Crime Complaint Center. To verify an email from our recruiting team, forward it to security@hingehealth.com https://app.ashbyhq.com/admin/organizational-settings/theme#.

At Hinge Health, we’re using technology to scale and automate the delivery of healthcare – starting with musculoskeletal (MSK) conditions, which affect over 1.7 billion people worldwide. With an AI-powered human-centered care model, Hinge Health leverages cutting-edge technology to improve outcomes, experiences and costs to help people move beyond their pain. The platform addresses a broad spectrum of MSK care – from acute injury, to chronic pain, to post-surgical rehabilitation – through personalized, evidence-based care.

As the preferred partner to 50+ health plans, PBMs and other ecosystem partners, Hinge Health is available to over 20 million people across more than 2,550 employers. The company is headquartered in San Francisco with additional offices in Montreal and Bangalore. Learn more at http://www.hingehealth.com/http://www.hingehealth.com